Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …

Due to recent advances in digital technologies, and availability of credible data, an area of
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …

Interactive AI-powered services require low-latency evaluation of deep neural network
(DNN) models-aka"" real-time AI"". The growing demand for computationally expensive …

Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a
wide range of cognitive tasks, and due to this, they have received significant interest from the …

Deep neural networks offer considerable potential across a range of applications, from
advanced manufacturing to autonomous cars. A clear trend in deep neural networks is the …

With the recent advancement of multilayer convolutional neural networks (CNNs) and fully
connected networks (FCNs), deep learning has achieved amazing success in many areas …

Convolutional neural networks (CNNs) have been widely applied in many deep learning
applications. In recent years, the FPGA implementation for CNNs has attracted much …

In the past decade, Convolutional Neural Networks (CNNs) have demonstrated state-of-the-
art performance in various Artificial Intelligence tasks. To accelerate the experimentation and …